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Volume 29, Number 3—March 2023
Research

COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts

Remy Pasco, Kaitlyn Johnson, Spencer J. Fox, Kelly A. Pierce, Maureen Johnson-León, Michael Lachmann, David P. Morton, and Lauren Ancel MeyersComments to Author 
Author affiliations: The University of Texas at Austin, Austin, Texas, USA (R. Pasco, K. Johnson, S.J. Fox, K.A. Pierce, M. Johnson-León, L.A. Meyers); Santa Fe Institute, Santa Fe, New Mexico, USA (M. Lachmann, L.A. Meyers); Northwestern University, Evanston, Illinois, USA (D.P. Morton)

Main Article

Figure 5

Cumulative infections in schools used to model a COVID-19 test allocation strategy to mitigate SARS-CoV-2 infections across 11 school districts in the Austin Independent School District, Austin, Texas, USA. Graphs represent cumulative COVID-19 infections over a 10-week period under 3 testing scenarios: A) no testing; B) all schools test students every 14 days; and C) optimized allocation of tests based on school-specific transmission risks, assuming a district-wide budget of 1 test per student every 14 days. Schools are ordered from A–K based on community incidence from high to low in the school catchment area. Graphs show 7-day moving averages based on a single simulation for each scenario and school. To show representative projections, we selected the simulation that produced a cumulative attack rate closest to the median across all 300 simulations.

Figure 5. Cumulative infections in schools used to model a COVID-19 test allocation strategy to mitigate SARS-CoV-2 infections across 11 school districts in the Austin Independent School District, Austin, Texas, USA. Graphs represent cumulative COVID-19 infections over a 10-week period under 3 testing scenarios: A) no testing; B) all schools test students every 14 days; and C) optimized allocation of tests based on school-specific transmission risks, assuming a district-wide budget of 1 test per student every 14 days. Schools are ordered from A–K based on community incidence from high to low in the school catchment area. Graphs show 7-day moving averages based on a single simulation for each scenario and school. To show representative projections, we selected the simulation that produced a cumulative attack rate closest to the median across all 300 simulations.

Main Article

Page created: December 31, 2022
Page updated: February 19, 2023
Page reviewed: February 19, 2023
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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